Anil Kumar Khanal (BWI) explains using NNSE to evaluate model accuracy, highlighting its role in validating hydrological forecasts and remote sensing.
In this video, Anil Kumar Khanal, High Mountains Remote Sensing Specialist and Hydrologist at BWI, discusses the use of the NNSE (Normalized Nash-Sutcliffe Efficiency) coefficient and explains why Blue Water Intelligence (BWI) selected this metric to evaluate the predictive skills of their models.
This video offers insights into the importance of choosing appropriate statistical measures for model validation, particularly in environmental and remote sensing applications.
